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        • bnelearn.experiment package
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        • bnelearn.util package
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  • bnelearn package
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bnelearn.util package¶

Submodules¶

  • bnelearn.util.autograd_hacks module
    • add_hooks()
    • backprop_hess()
    • clear_backprops()
    • compute_grad1()
    • compute_hess()
    • disable_hooks()
    • enable_hooks()
    • is_supported()
    • remove_hooks()
    • symsqrt()
  • bnelearn.util.distribution_util module
    • copy_dist_to_device()
  • bnelearn.util.integration module
    • cumulatively_integrate()
  • bnelearn.util.logging module
    • CustomSummaryWriter
      • CustomSummaryWriter.add_hparams()
      • CustomSummaryWriter.add_metrics_dict()
    • export_stepwise_linear_bid()
    • log_git_commit_hash()
    • print_aggregate_tensorboard_logs()
    • print_full_tensorboard_logs()
    • process_figure()
    • read_bne_utility_database()
    • save_experiment_config()
    • tabulate_tensorboard_logs()
    • write_bne_utility_database()
  • bnelearn.util.metrics module
    • ex_interim_util_loss()
    • ex_interim_utility()
    • ex_post_util_loss()
    • get_best_responses_among_alternatives()
    • norm_actions()
    • norm_strategies()
    • norm_strategy_and_actions()
  • bnelearn.util.mpc module
    • MpcSolver
      • MpcSolver.is_pd()
      • MpcSolver.solve()
  • bnelearn.util.tensor_util module
    • GaussLayer
      • GaussLayer.forward()
      • GaussLayer.training
    • UniformLayer
      • UniformLayer.forward()
      • UniformLayer.training
    • apply_average_dynamic_mini_batching()
    • apply_with_dynamic_mini_batching()
    • batched_index_select()

Module contents¶

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